Search results
Results from the WOW.Com Content Network
A Linear PCP is a PCP in which the proof is a vector of elements of a finite field , and such that the PCP oracle is only allowed to do linear operations on the proof. Namely, the response from the oracle to a verifier query q ∈ F n {\displaystyle q\in \mathbb {F} ^{n}} is a linear function f ( q , π ) {\displaystyle f(q,\pi )} .
A proof of the undecidability of PCP based on Chomsky type-0 grammars. Dong, Jing. "The Analysis and Solution of a PCP Instance." 2012 National Conference on Information Technology and Computer Science. The paper describes a heuristic rule for solving some specific PCP instances. Online PHP Based PCP Solver; PCP AT HOME; PCP - a nice problem
, X n) be an estimator based on a random sample X 1,X 2, . . . , X n , the estimator T is called an unbiased estimator for the parameter θ if E[T] = θ, irrespective of the value of θ. [ 1 ] For example, from the same random sample we have E(x̄) = μ (mean) and E(s 2 ) = σ 2 (variance), then x̄ and s 2 would be unbiased estimators for μ ...
The PCP theorem states that NP = PCP[O(log n), O(1)],. where PCP[r(n), q(n)] is the class of problems for which a probabilistically checkable proof of a solution can be given, such that the proof can be checked in polynomial time using r(n) bits of randomness and by reading q(n) bits of the proof, correct proofs are always accepted, and incorrect proofs are rejected with probability at least 1/2.
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
An amortization calculator is used to determine the periodic payment amount due on a loan (typically a mortgage), based on the amortization process. [ 1 ] The amortization repayment model factors varying amounts of both interest and principal into every installment, though the total amount of each payment is the same.
This amortization schedule is based on the following assumptions: First, it should be known that rounding errors occur and, depending on how the lender accumulates these errors, the blended payment (principal plus interest) may vary slightly some months to keep these errors from accumulating; or, the accumulated errors are adjusted for at the end of each year or at the final loan payment.
Define the "reverse time" variable z = T − t.(t = 0, z = T and t = T, z = 0).Then: Plotted on a time axis normalized to system time constant (τ = 1/r years and τ = RC seconds respectively) the mortgage balance function in a CRM (green) is a mirror image of the step response curve for an RC circuit (blue).The vertical axis is normalized to system asymptote i.e. perpetuity value M a /r for ...